Methods › Computer Vision › Image Model Blocks › Inception Module › Papers where code ran, page 1
Inception Module
Papers archive 2025-07-28
archive papers tagged: 206 · with a code link: 72 · where Syntology ran a sample: 16 (14 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (16 of 206 tagged: 14 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 16 of the 16 tagged papers where Syntology ran at least one harvested sample (14 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models 14 Oct 2024 · 1 repository · arXiv:2410.10318Syntology official (archive's flag): 4 ran · 4 ran (of which 1 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 13 Aug 2023 · 1 repository · arXiv:2308.06748Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 11 harvested samples) · 3 pointer-only (licence)
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CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method 6 Oct 2021 · 1 repository · arXiv:2110.02550Syntology official (archive's flag): 2 ran · 2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes? 2 Jul 2020 · 1 repository · arXiv:2007.01062Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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SIGN: Scalable Inception Graph Neural Networks 23 Apr 2020 · 5 repositories · arXiv:2004.11198Syntology official (archive's flag): 2 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples)
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Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets 14 Feb 2020 · 4 repositories · arXiv:2002.05990Syntology official (archive's flag): 1 ran · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified (of 9 harvested samples)
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LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks 26 Jul 2018 · 1 repository · arXiv:1807.10029Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Coordinating Filters for Faster Deep Neural Networks 28 Mar 2017 · 5 repositories · arXiv:1703.09746Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Xception: Deep Learning with Depthwise Separable Convolutions 7 Oct 2016 · 41 repositories · arXiv:1610.02357Syntology 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 8 unverified (of 15 harvested samples)
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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos 9 Apr 2016 · 1 repository · arXiv:1604.02532Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications 20 Nov 2015 · 7 repositories · arXiv:1511.06530Syntology 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 7 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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Convolutional neural networks with low-rank regularization 19 Nov 2015 · 2 repositories · arXiv:1511.06067Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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All you need is a good init 19 Nov 2015 · 11 repositories · arXiv:1511.06422Syntology official: harvested, nothing ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified (of 19 harvested samples) · 2 pointer-only (licence)
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Cyclical Learning Rates for Training Neural Networks 3 Jun 2015 · 53 repositories · arXiv:1506.01186Syntology official: no sample here; runs from other or unrecorded repositories · 15 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 17 harvested samples) · 2 pointer-only (licence)
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 11 Feb 2015 · 70 repositories · arXiv:1502.03167Syntology 19 ran (of which 5 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified (of 21 harvested samples) · 5 pointer-only (licence)
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Going Deeper with Convolutions 17 Sep 2014 · 83 repositories · arXiv:1409.4842Syntology community repositories only · 34 ran (of which 19 constructed an object rather than computing a result; 30 with no instrument failure: 0 honoured, 0 violated, 30 with no contract checked; 4 where Syntology's instrument failed) · 8 unverified (of 42 harvested samples) · 21 pointer-only (licence)